2010 search results - page 124 / 402 » Feature Subset Selection Using a Genetic Algorithm |
122
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
149
click to vote
KDD
2010
ACM
15 years 6 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
132
Voted
KDD
2002
ACM
16 years 2 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
138
Voted
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
129
click to vote
ICDM
2010
IEEE
15 years 4 days ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...